Simulation-informed Modelling and Personalized Evaluation (SIMPLE) in Ageing Populations

The Chinese University of Hong Kong

Status: Invitation-only

Conditions: Aging; Neurodegenerative Diseases; Cognitive Dysfunction; Brain

Study type: Observational

Funder types: Other

Identifiers

NCT06572332

2023.171

Details and patient eligibility

About

Multimodal magnetic resonance imaging (MRI), detecting brain structural and functional changes, has emerged as a powerful and promising technique to study individual's brain, as T1-weighted scans can detect morphometric features, diffusion tensor imaging (DTI) scans can quantify structural connectivity, and functional MRI can capture the features of functional connectivity. Notably, with the advances in quantitative methods, computational models of brain age and brain-predicted age difference (brain-PAD) detecting the ageing effects on individual's brain features are becoming increasingly popular in clinical studies, which might revolutionize the diagnostic and prognostic phonotypes of age-related brain diseases globally.

Full description

The score of brain-PAD has threefold explanations: a. negative score representing decelerated brain ageing (brain age<chronological age); b. positive score representing accelerated brain ageing (brain age>chronological age); c. score equal to zero, representing normal brain ageing (brain age=chronological age). The score of brain-PAD indicates the brain ageing pattern with the interaction of lifestyle and cognitive status at individual level. For example, based on structural MRI scans, a younger brain age or a negative score of brain-PAD was found to be associated with better cognition, which indicates the potential utilities of brain age matrices in predicting individual's cognitive maintenance and healthy longevity

Enrollment: 300 estimated patients

Sex: All

Ages: 50 to 90 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Chinese old adults are the ones who are over 60 years of chronological age.
• Sleep disturbance: individual's subjective sleep quality is assessed using the Pittsburgh Sleep Quality Index (PSQI) with a total score >5.

Exclusion criteria

• History of bipolar disorders or psychosis.
• History of major neurological deficits, including stroke, transient ischemic attack or brain tumor.
• Unable to participant magnetic resonance imaging (MRI) scanning.